Kunio Inoue

5.2k total citations · 1 hit paper
61 papers, 4.2k citations indexed

About

Kunio Inoue is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Kunio Inoue has authored 61 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 14 papers in Genetics and 13 papers in Cancer Research. Recurrent topics in Kunio Inoue's work include RNA Research and Splicing (29 papers), RNA and protein synthesis mechanisms (15 papers) and MicroRNA in disease regulation (13 papers). Kunio Inoue is often cited by papers focused on RNA Research and Splicing (29 papers), RNA and protein synthesis mechanisms (15 papers) and MicroRNA in disease regulation (13 papers). Kunio Inoue collaborates with scholars based in Japan, United States and Germany. Kunio Inoue's co-authors include Hiroshi Sakamoto, Yuichiro Mishima, Antonio J. Giráldez, Alexander F. Schier, Yoshiro Shimura, Russell Grocock, Stijn van Dongen, Anton J. Enright, Jason Rihel and Kazuyuki Hoshijima and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Kunio Inoue

60 papers receiving 4.1k citations

Hit Papers

Zebrafish MiR-430 Promotes Deadenylation and Clearance of... 2006 2026 2012 2019 2006 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kunio Inoue Japan 27 3.2k 1.1k 1.1k 369 265 61 4.2k
Krasimir Slanchev Germany 20 1.6k 0.5× 615 0.5× 859 0.8× 358 1.0× 104 0.4× 24 2.6k
Satoru Kobayashi Japan 40 4.4k 1.4× 257 0.2× 1.7k 1.6× 234 0.6× 483 1.8× 142 6.1k
Bruce W. Draper United States 35 3.7k 1.2× 458 0.4× 1.8k 1.6× 713 1.9× 507 1.9× 49 5.4k
Daniel Chourrout France 34 3.1k 1.0× 242 0.2× 1.7k 1.6× 1.1k 3.1× 92 0.3× 77 5.6k
Ryohei Sekido United Kingdom 25 3.0k 1.0× 308 0.3× 2.9k 2.7× 211 0.6× 486 1.8× 30 4.2k
Anming Meng China 40 3.9k 1.2× 570 0.5× 804 0.7× 75 0.2× 125 0.5× 126 5.2k
Andrea Pauli Austria 26 3.3k 1.0× 1.2k 1.0× 418 0.4× 48 0.1× 125 0.5× 44 4.1k
Howard D. Lipshitz Canada 45 5.8k 1.8× 533 0.5× 1.1k 1.0× 83 0.2× 411 1.6× 92 6.9k
Toshiaki Noce Japan 29 3.7k 1.1× 218 0.2× 2.0k 1.8× 181 0.5× 985 3.7× 60 4.9k
Jean‐Stéphane Joly France 27 2.5k 0.8× 203 0.2× 660 0.6× 94 0.3× 88 0.3× 47 3.6k

Countries citing papers authored by Kunio Inoue

Since Specialization
Citations

This map shows the geographic impact of Kunio Inoue's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kunio Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunio Inoue more than expected).

Fields of papers citing papers by Kunio Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kunio Inoue. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kunio Inoue. The network helps show where Kunio Inoue may publish in the future.

Co-authorship network of co-authors of Kunio Inoue

This figure shows the co-authorship network connecting the top 25 collaborators of Kunio Inoue. A scholar is included among the top collaborators of Kunio Inoue based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kunio Inoue. Kunio Inoue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Inoue, Kunio, et al.. (2022). The cardiac neural crest gene MafB ectopically directs CXCR4 expression in the trunk neural crest. Developmental Biology. 495. 1–7.
2.
Yoshimoto, Rei, Hyun-Seo Kang, Tetsuro Hirose, et al.. (2021). SPF45/RBM17-dependent, but not U2AF-dependent, splicing in a distinct subset of human short introns. Nature Communications. 12(1). 4910–4910. 20 indexed citations
3.
Gandhi, Shashank, et al.. (2018). Transcriptome profiling of the cardiac neural crest reveals a critical role for MafB. Developmental Biology. 444. S209–S218. 22 indexed citations
4.
Kusakabe, Rie, et al.. (2018). Developmental mechanisms of migratory muscle precursors in medaka pectoral fin formation. Development Genes and Evolution. 228(5). 189–196. 5 indexed citations
5.
Kusakabe, Rie, Koki Nishitsuji, K. Okamura, et al.. (2012). Characterization of the compact bicistronic microRNA precursor, miR-1/miR-133, expressed specifically in Ciona muscle tissues. Gene Expression Patterns. 13(1-2). 43–50. 19 indexed citations
6.
Fukao, Akira, Hiroaki Imataka, Kunio Inoue, et al.. (2009). The ELAV Protein HuD Stimulates Cap-Dependent Translation in a Poly(A)- and eIF4A-Dependent Manner. Molecular Cell. 36(6). 1007–1017. 84 indexed citations
7.
Taniguchi, Ichiro, et al.. (2009). U1-independent pre-mRNA splicing contributes to the regulation of alternative splicing. Nucleic Acids Research. 37(6). 1907–1914. 28 indexed citations
8.
Nishibu, Takahiro, et al.. (2009). A useful approach to total analysis of RISC-associated RNA. BMC Research Notes. 2(1). 169–169. 10 indexed citations
10.
Kawakami, Koichi, et al.. (2007). Spatiotemporal localization of germ plasm RNAs during zebrafish oogenesis. Mechanisms of Development. 124(4). 279–289. 122 indexed citations
11.
Giráldez, Antonio J., Yuichiro Mishima, Jason Rihel, et al.. (2006). Zebrafish MiR-430 Promotes Deadenylation and Clearance of Maternal mRNAs. Science. 312(5770). 75–79. 1238 indexed citations breakdown →
12.
Mishima, Yuichiro, Antonio J. Giráldez, Yasuaki Takeda, et al.. (2006). Differential Regulation of Germline mRNAs in Soma and Germ Cells by Zebrafish miR-430. Current Biology. 16(21). 2135–2142. 255 indexed citations
13.
Hashimoto, Yoshiko, S. Maegawa, T Nagai, et al.. (2004). Localized maternal factors are required for zebrafish germ cell formation. Developmental Biology. 268(1). 152–161. 118 indexed citations
14.
Nakahata, Shingo, Yoshinao Katsu, Koichi Mita, et al.. (2001). Biochemical Identification of Xenopus Pumilio as a Sequence-specific Cyclin B1 mRNA-binding Protein That Physically Interacts with a Nanos Homolog, Xcat-2, and a Cytoplasmic Polyadenylation Element-binding Protein. Journal of Biological Chemistry. 276(24). 20945–20953. 141 indexed citations
15.
Suzuki, Hitoshi, S. Maegawa, Takahiro Nishibu, et al.. (2000). Vegetal localization of the maternal mRNA encoding an EDEN-BP/Bruno-like protein in zebrafish. Mechanisms of Development. 93(1-2). 205–209. 56 indexed citations
16.
Maegawa, S., Kunio Yasuda, & Kunio Inoue. (1999). Maternal mRNA localization of zebrafish DAZ-like gene. Mechanisms of Development. 81(1-2). 223–226. 124 indexed citations
17.
Takabatake, Takashi, et al.. (1996). Activation of TwoCynopsGenes,Fork HeadandSonic Hedgehog,in Animal Cap Explants. Biochemical and Biophysical Research Communications. 218(1). 395–401. 25 indexed citations
18.
Hoshijima, Kazuyuki, Ayako Kohyama‐Koganeya, Ikuko Watakabe, et al.. (1995). Transcriptional regulation of theSex-lethalgene by helix-loop-helix proteins. Nucleic Acids Research. 23(17). 3441–3448. 20 indexed citations
19.
Sakamoto, Hiroshi, et al.. (1992). Control ofDrosophila Sex-lethalpre-mRNA splicing by its own female-specific product. Nucleic Acids Research. 20(21). 5533–5540. 90 indexed citations
20.
Inoue, Kunio, et al.. (1989). A secondary structure at the 3′ splice site affects thein vitrosplicing reaction of mouse immunoglobulin μ chain pre-mRNAs. Nucleic Acids Research. 17(20). 8159–8169. 69 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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